featbit-deployment-docker
Expert guidance for deploying FeatBit with Docker Compose across three tiers - Standalone (PostgreSQL only), Standard (PostgreSQL/MongoDB + Redis), and Professional (+ ClickHouse + Kafka). Use when user mentions "docker-compose", "deploy with Docker", "standalone vs standard vs pro", works with docker-compose.yml files, or asks about container configuration, environment variables, or production Docker setup.
Best use case
featbit-deployment-docker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert guidance for deploying FeatBit with Docker Compose across three tiers - Standalone (PostgreSQL only), Standard (PostgreSQL/MongoDB + Redis), and Professional (+ ClickHouse + Kafka). Use when user mentions "docker-compose", "deploy with Docker", "standalone vs standard vs pro", works with docker-compose.yml files, or asks about container configuration, environment variables, or production Docker setup.
Teams using featbit-deployment-docker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/featbit-deployment-docker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How featbit-deployment-docker Compares
| Feature / Agent | featbit-deployment-docker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert guidance for deploying FeatBit with Docker Compose across three tiers - Standalone (PostgreSQL only), Standard (PostgreSQL/MongoDB + Redis), and Professional (+ ClickHouse + Kafka). Use when user mentions "docker-compose", "deploy with Docker", "standalone vs standard vs pro", works with docker-compose.yml files, or asks about container configuration, environment variables, or production Docker setup.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# FeatBit Docker Compose Deployment Expert guidance for deploying FeatBit with Docker Compose. This skill provides deployment instructions for all three tiers with links to detailed configuration files. ## Core Concepts FeatBit offers three deployment architectures optimized for different scales: | Tier | Database | Cache | Message Queue | Analytics | Best For | |------|----------|-------|---------------|-----------|----------| | **Standalone** | PostgreSQL | None | PostgreSQL | PostgreSQL | Low to moderate concurrent connections, moderate API calls, limited event volume | | **Standard** | PostgreSQL/MongoDB | Redis | Redis | MongoDB | Moderate to high concurrent connections & API calls, moderate event volume | | **Professional** | PostgreSQL/MongoDB | Redis | Kafka | ClickHouse | Moderate to high concurrent connections & API calls, high event volume | **Quick Selection Guide**: - **Standalone**: Minimal setup, single server, handles low to moderate concurrent WebSocket connections - **Standard**: Production-ready with caching, handles high concurrent connections with moderate event volume - **Professional**: Maximum scale for high connections AND high event volume, requires DevOps expertise **Note**: Traffic includes both concurrent WebSocket connections from frontend clients and API calls to clients - these have different scales. 📚 **Architecture Details**: https://docs.featbit.co/installation/deployment-options ## Deployment Guides **⚠️ Important**: Before starting any deployment, clone the FeatBit repository as it contains required scripts: ```bash git clone https://github.com/featbit/featbit.git cd featbit ``` These scripts are accessed during Docker execution. **📍 Access Information** (applies to all deployment tiers): - **URL**: http://localhost:8081 - **Default Login**: test@featbit.com / 123456 ### Standalone Deployment **Quick Start**: ```bash # Clone repository (if not already done) git clone https://github.com/featbit/featbit.git cd featbit # Start services using the included docker-compose.yml docker compose up -d ``` **Prerequisites**: Docker 20.10+, Docker Compose 2.0+, 2GB RAM 📄 **Complete Guide**: [references/standalone-configuration.md](references/standalone-configuration.md) - Full docker-compose.yml with health checks - Step-by-step setup instructions - Using managed PostgreSQL - Resource requirements - Limitations and when to upgrade ### Standard Deployment **Two Options Available**: **Option A: PostgreSQL + Redis** - Best for teams familiar with PostgreSQL - Simpler than MongoDB option ```bash # Clone repository (if not already done) git clone https://github.com/featbit/featbit.git cd featbit # Start services with PostgreSQL Standard configuration docker compose -f docker-compose-standard.yml up -d ``` **Option B: MongoDB + Redis** - Better for document-oriented workloads - Includes initialization script ```bash # Clone repository (if not already done) git clone https://github.com/featbit/featbit.git cd featbit # Start services with MongoDB configuration docker compose -f docker-compose-mongodb.yml up -d ``` **Prerequisites**: Docker 20.10+, Docker Compose 2.0+, 4GB RAM (8GB recommended) 📄 **Complete Guide**: [references/standard-configuration.md](references/standard-configuration.md) - Full configurations for both PostgreSQL and MongoDB options - Production setup with managed services - Resource requirements - When to choose Standard vs Professional ### Professional Deployment **Enterprise-Scale Architecture**: - Kafka for high-throughput messaging - ClickHouse for advanced analytics - Horizontal scalability - Handles millions of events per day ```bash # Clone repository (if not already done) git clone https://github.com/featbit/featbit.git cd featbit # Start all services (Docker Compose handles startup order via depends_on) docker compose -f docker-compose-pro.yml up -d ``` **Prerequisites**: Docker 20.10+, Docker Compose 2.0+, 8GB+ RAM, 4+ CPU cores ⚠️ **Complexity Warning**: Requires significant DevOps expertise 📄 **Complete Guide**: [references/professional-configuration.md](references/professional-configuration.md) - Full docker-compose.yml with all services - Infrastructure startup sequence - Horizontal scaling configuration - Using managed services (AWS MSK, ClickHouse Cloud) - Performance tuning - Monitoring setup ## Reference Guides ### Environment Variables Complete reference for all configuration options: 📄 **[references/environment-variables.md](references/environment-variables.md)** - Provider configuration (DbProvider, MqProvider, CacheProvider) - Database connection strings (PostgreSQL, MongoDB, Redis, Kafka, ClickHouse) - UI configuration (API_URL, EVALUATION_URL) - Service-specific variables - Using .env files for secrets - Environment-specific configurations - OpenTelemetry configuration ### Troubleshooting Common issues and solutions: 📄 **[references/troubleshooting.md](references/troubleshooting.md)** - Port conflicts - UI connection issues - Database connection failures - Service startup problems - WebSocket connection failures - Redis and MongoDB issues - Kafka and ClickHouse troubleshooting - Performance problems - Emergency recovery procedures - Debugging tips ## Quick Commands ### Service Management ```bash # Start all services (Standalone) docker compose up -d # Start all services (Standard PostgreSQL) docker compose -f docker-compose-standard.yml up -d # Start all services (Standard MongoDB) docker compose -f docker-compose-mongodb.yml up -d # Start all services (Professional) docker compose -f docker-compose-pro.yml up -d # Stop all services (use same -f flag as used for starting) docker compose down # or for non-default configs: docker compose -f docker-compose-standard.yml down # View status docker compose ps # View logs docker compose logs -f # View specific service logs docker compose logs -f api-server # Restart service docker compose restart api-server # Scale service (Professional tier) docker compose up -d --scale evaluation-server=3 ``` ### Maintenance ```bash # Update to latest images docker compose pull docker compose up -d # Clean up docker system prune -a --volumes # Backup PostgreSQL docker compose exec postgresql pg_dump -U postgres featbit > backup.sql # Backup MongoDB docker compose exec mongodb mongodump --out /backup --db featbit ``` ## When to Choose Each Tier ### Choose Standalone If: ✅ **Production or non-production** with low to moderate traffic: - Low to moderate concurrent WebSocket connections from frontend clients - Moderate API call volume to clients ✅ Low event volume (feature flag usage events & custom events) ✅ Simple single-server deployment preferred ✅ Cost-effective solution for small-scale production use ✅ Quick evaluation of FeatBit ❌ Not Recommended For: - Very high concurrent WebSocket connections - High event volume requiring event streaming - Need for caching layer to improve performance ### Choose Standard If: ✅ **Very high concurrent WebSocket connections & API calls** ✅ Need caching layer (Redis) for improved performance ✅ Moderate event volume (feature flag usage events & custom events) ✅ Production environment requiring reliability ✅ Good balance of complexity vs features ❌ Consider Professional If: - Very high event volume requiring Kafka event streaming - Require real-time analytics at scale with ClickHouse - Need horizontal scalability for data analytics ### Choose Professional If: ✅ **Very high concurrent WebSocket connections & API calls** ✅ **Very high event volume** (feature flag usage events & custom events) ✅ Need Kafka for high-throughput event streaming ✅ Need ClickHouse for real-time analytics at scale ✅ Have dedicated DevOps resources ✅ Budget for infrastructure ❌ Consider Standard If: - Limited DevOps expertise - Moderate event volume (Redis sufficient for message queue) - Cost-sensitive ## Official Resources ### Documentation - **Installation Guide**: https://docs.featbit.co/installation/docker-compose - **Deployment Options**: https://docs.featbit.co/installation/deployment-options - **Infrastructure Components**: https://docs.featbit.co/tech-stack/infrastructure-components - **FAQ**: https://docs.featbit.co/installation/faq ### Source Code & Configurations - **Main Repository**: https://github.com/featbit/featbit - **Standalone**: https://github.com/featbit/featbit/blob/main/docker-compose.yml - **Standard (MongoDB)**: https://github.com/featbit/featbit/blob/main/docker-compose-mongodb.yml - **Professional**: https://github.com/featbit/featbit/blob/main/docker-compose-pro.yml - **PostgreSQL Init**: https://github.com/featbit/featbit/tree/main/infra/postgresql/docker-entrypoint-initdb.d - **MongoDB Init**: https://github.com/featbit/featbit/blob/main/infra/mongodb/docker-entrypoint-initdb.d ### Docker Images - **Docker Hub**: https://hub.docker.com/u/featbit - Images: featbit-ui, featbit-api-server, featbit-evaluation-server, featbit-data-analytics-server ### Alternative Deployments - **Kubernetes**: https://github.com/featbit/featbit-charts - **Azure Container Apps**: https://github.com/featbit/featbit-aspire - **Terraform (AWS)**: https://github.com/featbit/featbit-terraform-aws ## Related Skills - **featbit-deployment-kubernetes**: Kubernetes/Helm deployments with auto-scaling - **featbit-deployment**: Overview of all deployment options and architecture - **featbit-getting-started**: Initial setup, creating feature flags, SDK integration - **featbit-opentelemetry**: Observability and monitoring setup
Related Skills
gke-deployment
Deploy, configure, and manage Kubernetes workloads on GKE with Deployments, Services, Ingress, HPA, health probes, ConfigMaps, and Secrets. Use when deploying containers to GKE, configuring load balancers, setting up autoscaling, writing health checks, managing environment configs, or troubleshooting pod issues.
frontend-deployment
Deploy frontend applications from aramb.toml. Creates frontend service, resolves backend references from deployment outputs, builds static files, and deploys with environment variables. Returns deployment URL. Use for all frontend deployments.
featbit-deployment-kubernetes
Deploys FeatBit to Kubernetes using Helm Charts. Use when user mentions "Kubernetes", "Helm", "K8s", "kubectl", works with values.yaml files, asks about "cloud deployment", "AKS", "EKS", "GKE", "ingress", or needs production-grade container orchestration setup.
FastAPI Kubernetes Deployment
This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", or mentions Docker, Kubernetes, K8s, containers, Helm, or deployment. Provides containerization and orchestration patterns.
expo-deployment
Deploy Expo apps to production
dotnet-container-deployment
Deploys .NET containers. Kubernetes probes, Docker Compose for local dev, CI/CD integration.
dockerfile-optimization
Optimize Dockerfiles for smaller images, faster builds, better caching, and security. Use this skill when writing, reviewing, or debugging Dockerfiles.
Docker Hub Automation
Automate Docker Hub tasks via Rube MCP (Composio): repositories, images, tags, and container registry management. Always search tools first for current schemas.
docker
Docker y Compose. Proyecto usa este skill; contenido canónico en .ai-system.
docker-workflow
Comprehensive Docker containerization workflow covering multi-stage builds, docker-compose orchestration, image optimization, debugging, and production best practices. Use when containerizing applications, setting up development environments, or deploying with Docker.
docker-vigil-orchestration
Docker Compose orchestration for Vigil Guard v2.0.0 microservices (11 services). Use when deploying services, managing containers, troubleshooting Docker network issues, working with vigil-net, configuring docker-compose.yml, handling service dependencies, or working with 3-branch detection services (heuristics, semantic, prompt-guard).
docker-to-k8s-manifests
Automatically generate optimized Kubernetes deployment manifests from Dockerfile and docker-compose configurations with proper resource limits and health checks.